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Machine Learning for Beginners and Beyond

Master AI Fundamentals, Build Smart Models, and Unlock High-Income Tech Careers with Real-World Applications

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Machine Learning for Beginners and Beyond

By: Dr. Elias M. Kwon
Narrated by: Richard Mason's voice replica
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This title uses a narrator's voice replica

A voice replica is a computer-generated voice created by a narrator to sound like their voice.

About this listen

Welcome to Machine Learning for Beginners and Beyond—your guided journey into the world of artificial intelligence, simplified, demystified, and designed to transform your future.

In a time when AI is reshaping industries and job markets, this audiobook offers something more than technical theory. It gives you real-world tools and career-ready confidence to start building smart models, working with data, and understanding the systems behind today’s biggest tech breakthroughs.

Written by AI expert Dr. Elias M. Kwon, this audiobook walks you through every essential step of machine learning—from foundational math and Python tools, to building models, evaluating results, and even deploying your projects on the web. Along the way, you'll complete practical exercises like predicting housing prices, segmenting customers, or creating a simple digit recognizer.

But this isn’t just about learning how machine learning works. It’s about learning how to use it—for your career, your business, or your passion projects. You'll also explore in-demand job roles, discover how to build a standout portfolio, and get insider tips on landing interviews in the competitive world of AI and data science.

If you’re a complete beginner, switching careers, or simply curious about what machine learning can do for your future, this audiobook is your step-by-step roadmap. No jargon. No overwhelm. Just clear, engaging guidance designed for listening—and for action.

This is your time. This is your future. Let’s build it together—one smart model at a time.

©2025 Ernalyn Bautista (P)2025 Ernalyn Bautista
Computer Science History & Culture Machine Theory & Artificial Intelligence Machine Learning Data Science Artificial Intelligence Programming Mathematics Career Technology
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